code: def _norm_moment(n):
      # moments of N(0, 1)
      return (1 - n % 2) * factorial2(n - 1)
  
imports: import warnings
  import numpy
  from numpy.testing import assert_equal, assert_raises, assert_allclose
  import numpy.testing
  from scipy.special import gamma, factorial, factorial2
  import scipy.stats
  from statsmodels.distributions.edgeworth import _faa_di_bruno_partitions, cumulant_from_moments, ExpandedNormal
label_desc: Use image node_id 1 for calling a global function with example usage: _norm_moment(n) and returns: unknown